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尚靖桓 Jinghuan ShangI'm a Ph.D. candidate in the Department of Computer Science at Stony Brook University, working with Prof. Michael Ryoo, as a part of CV Lab at Stony Brook. I received my Bachelor's degree from IEEE Honored Class at Shanghai Jiao Tong University (SJTU) in 2018, with honor from Shanghai. Research interest: Representation Learning, Robotics, and Computer Vision. Specifically, I find good visual representations for robots to perform visual tasks under reinforcement learning and imitation learning settings. [CV][GitHub] Email: jishang [at] cs &dot& stony brook %dot% edu |
2022/07 - StARformer is accepted to ECCV 2022! See how local representations benefit long-term sequence modeling in vision-based RL.
2022/06 - Robot Sim to Reeeaaaal? Check TRITON using neural neural texture and differentiable rendering!
2022/06 - Introducing 3D Token Representation Layer, a light-weighted, plug-and-play module for Transformer to learn viewpoint-agnostic representations, which enables vision models to generalize to different view angles!
2021/06 - Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? We conducted studies on this question and our pre-print paper is available on Arxiv!
2021/06 - Our paper on Third-Person Imitation Learning is Accepted by IROS 2021!
Neural Neural Textures Make Sim2Real Consistent
, J. Shang, X. Li, and M. S. Ryoo arXiv: 2206.13500 [Project Page] [Code -- Coming Soon] [arXiv] |
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Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
J. Shang, S. Das, and M. S. Ryoo arXiv: 2206.11895 [Project Page] [Code -- Coming Soon] [arXiv] |
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Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
X. Li, J. Shang, S. Das, and M. S. Ryoo arXiv: 2206.05266 [arXiv] |
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StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning
J. Shang, K. Kahatapitiya, X. Li, and M. S. Ryoo ECCV 2022 [arXiv] [Code] |
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Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
J. Shang and M. S. Ryoo IROS 2021 [arXiv] [Talk] [Digest Slide] |
2018/08 | - Merit Scholarship from the Department of Computer Science at Stony Brook University |
2018/06 | - Outstanding graduate among all graduates from universities in Shanghai |
2016 | - 1st Prize in Shanghai Division of China Undergraduate Mathematical Contest in Modeling (CUMCM) |
2015-2017 | - 3 times of Academic Excellence Scholarship at Shanghai Jiao Tong University |
I love cooking.
I solve some algorithm problems in my spare time. Luckily got Top 10 in 2020 SBU ICPC Slection Contest. Here is my [Leetcode].
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